Navier-Stokes Equations

NavierStokes equations
Navier–Stokes equations
In physics, the Navier–Stokes equations, named after Claude-Louis Navier and George Gabriel Stokes, describe the
motion of fluid substances. These equations arise from applying Newton's second law to fluid motion, together with
the assumption that the fluid stress is the sum of a diffusing viscous term (proportional to the gradient of velocity),
plus a pressure term.
The equations are useful because they describe the physics of many things of academic and economic interest. They
may be used to model the weather, ocean currents, water flow in a pipe and air flow around a wing. The
Navier–Stokes equations in their full and simplified forms help with the design of aircraft and cars, the study of
blood flow, the design of power stations, the analysis of pollution, and many other things. Coupled with Maxwell's
equations they can be used to model and study magnetohydrodynamics.
The Navier–Stokes equations are also of great interest in a purely mathematical sense. Somewhat surprisingly, given
their wide range of practical uses, mathematicians have not yet proven that in three dimensions solutions always
exist (existence), or that if they do exist, then they do not contain any singularity (smoothness). These are called the
Navier–Stokes existence and smoothness problems. The Clay Mathematics Institute has called this one of the seven
most important open problems in mathematics and has offered a US$1,000,000 prize for a solution or a
counter-example.[1]
The Navier–Stokes equations dictate not position but rather velocity. A solution of the Navier–Stokes equations is
called a velocity field or flow field, which is a description of the velocity of the fluid at a given point in space and
time. Once the velocity field is solved for, other quantities of interest (such as flow rate or drag force) may be found.
This is different from what one normally sees in classical mechanics, where solutions are typically trajectories of
position of a particle or deflection of a continuum. Studying velocity instead of position makes more sense for a
fluid; however for visualization purposes one can compute various trajectories.
Properties
Nonlinearity
The Navier–Stokes equations are nonlinear partial differential equations in almost every real situation. In some
cases, such as one-dimensional flow and Stokes flow (or creeping flow), the equations can be simplified to linear
equations. The nonlinearity makes most problems difficult or impossible to solve and is the main contributor to the
turbulence that the equations model.
The nonlinearity is due to convective acceleration, which is an acceleration associated with the change in velocity
over position. Hence, any convective flow, whether turbulent or not, will involve nonlinearity. An example of
convective but laminar (nonturbulent) flow would be the passage of a viscous fluid (for example, oil) through a small
converging nozzle. Such flows, whether exactly solvable or not, can often be thoroughly studied and understood.
1
NavierStokes equations
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Turbulence
Turbulence is the time dependent chaotic behavior seen in many fluid flows. It is generally believed that it is due to
the inertia of the fluid as a whole: the culmination of time dependent and convective acceleration; hence flows where
inertial effects are small tend to be laminar (the Reynolds number quantifies how much the flow is affected by
inertia). It is believed, though not known with certainty, that the Navier–Stokes equations describe turbulence
properly.
The numerical solution of the Navier–Stokes equations for turbulent flow is extremely difficult, and due to the
significantly different mixing-length scales that are involved in turbulent flow, the stable solution of this requires
such a fine mesh resolution that the computational time becomes significantly infeasible for calculation (see Direct
numerical simulation). Attempts to solve turbulent flow using a laminar solver typically result in a time-unsteady
solution, which fails to converge appropriately. To counter this, time-averaged equations such as the
Reynolds-averaged Navier–Stokes equations (RANS), supplemented with turbulence models, are used in practical
computational fluid dynamics (CFD) applications when modeling turbulent flows. Some models include the
Spalart-Allmaras, k-ω (k-omega), k-ε (k-epsilon), and SST models which add a variety of additional equations to
bring closure to the RANS equations. Another technique for solving numerically the Navier–Stokes equation is the
Large eddy simulation (LES). This approach is computationally more expensive than the RANS method (in time and
computer memory), but produces better results since the larger turbulent scales are explicitly resolved.
Applicability
Together with supplemental equations (for example, conservation of mass) and well formulated boundary conditions,
the Navier–Stokes equations seem to model fluid motion accurately; even turbulent flows seem (on average) to agree
with real world observations.
The Navier–Stokes equations assume that the fluid being studied is a continuum (it is infinitely divisible and not
composed of particles such as atoms or molecules), and is not moving at relativistic velocities. At very small scales
or under extreme conditions, real fluids made out of discrete molecules will produce results different from the
continuous fluids modeled by the Navier–Stokes equations. Depending on the Knudsen number of the problem,
statistical mechanics or possibly even molecular dynamics may be a more appropriate approach.
Another limitation is simply the complicated nature of the equations. Time tested formulations exist for common
fluid families, but the application of the Navier–Stokes equations to less common families tends to result in very
complicated formulations which are an area of current research. For this reason, these equations are usually written
for Newtonian fluids. Studying such fluids is "simple" because the viscosity model ends up being linear; truly
general models for the flow of other kinds of fluids (such as blood) do not, as of 2011, exist.
Derivation and description
The derivation of the Navier–Stokes equations begins with an application of Newton's second law: conservation of
momentum (often alongside mass and energy conservation) being written for an arbitrary portion of the fluid. In an
inertial frame of reference, the general form of the equations of fluid motion is:[2]
where
is the flow velocity,
is the fluid density, p is the pressure,
represents body forces (per unit volume) acting on the fluid and
is the (deviatoric) stress tensor, and
is the del operator. This is a statement of the
conservation of momentum in a fluid and it is an application of Newton's second law to a continuum; in fact this
equation is applicable to any non-relativistic continuum and is known as the Cauchy momentum equation.
This equation is often written using the material derivative Dv/Dt, making it more apparent that this is a statement of
Newton's second law:
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The left side of the equation describes acceleration, and may be composed of time dependent or convective effects
(also the effects of non-inertial coordinates if present). The right side of the equation is in effect a summation of
body forces (such as gravity) and divergence of stress (pressure and shear stress).
Convective acceleration
A very significant feature of the Navier–Stokes equations is the
presence of convective acceleration: the effect of time independent
acceleration of a fluid with respect to space. While individual fluid
particles are indeed experiencing time dependent acceleration, the
convective acceleration of the flow field is a spatial effect, one
example being fluid speeding up in a nozzle. Convective acceleration
is represented by the nonlinear quantity:
An example of convection. Though the flow may
be steady (time independent), the fluid
decelerates as it moves down the diverging duct
(assuming incompressible or subsonic
compressible flow), hence there is an acceleration
happening over position.
which may be interpreted either as
vector
or as
with
the tensor derivative of the velocity
Both interpretations give the same result, independent of the coordinate system — provided
is
interpreted as the covariant derivative.[3]
Interpretation as (v·∇)v
The convection term is often written as
where the advection operator
terms of the tensor derivative
is used. Usually this representation is preferred as it is simpler than the one in
[3]
Interpretation as v·(∇v)
Here
is the tensor derivative of the velocity vector, equal in Cartesian coordinates to the component by
component gradient. The convection term may, by a vector calculus identity, be expressed without a tensor
derivative:[4] [5]
The form has use in irrotational flow, where the curl of the velocity (called vorticity)
is equal to zero.
Regardless of what kind of fluid is being dealt with, convective acceleration is a nonlinear effect. Convective
acceleration is present in most flows (exceptions include one-dimensional incompressible flow), but its dynamic
effect is disregarded in creeping flow (also called Stokes flow) .
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Stresses
The effect of stress in the fluid is represented by the
and
terms; these are gradients of surface forces,
analogous to stresses in a solid.
is called the pressure gradient and arises from the isotropic part of the stress
tensor. This part is given by normal stresses that turn up in almost all situations, dynamic or not. The anisotropic part
of the stress tensor gives rise to
, which conventionally describes viscous forces; for incompressible flow, this is
only a shear effect. Thus, is the deviatoric stress tensor, and the stress tensor is equal to:[6]
where is the 3×3 identity matrix. Interestingly, only the gradient of pressure matters, not the pressure itself. The
effect of the pressure gradient is that fluid flows from high pressure to low pressure.
The stress terms p and are yet unknown, so the general form of the equations of motion is not usable to solve
problems. Besides the equations of motion—Newton's second law—a force model is needed relating the stresses to
the fluid motion.[7] For this reason, assumptions on the specific behavior of a fluid are made (based on natural
observations) and applied in order to specify the stresses in terms of the other flow variables, such as velocity and
density.
The Navier–Stokes equations result from the following assumptions on the deviatoric stress tensor
:[8]
• the deviatoric stress vanishes for a fluid at rest, and – by Galilean invariance – also does not depend directly on
the flow velocity itself, but only on spatial derivatives of the flow velocity
• in the Navier–Stokes equations, the deviatoric stress is expressed as the product of the tensor gradient
of the
flow velocity with a viscosity tensor , i.e. :
• the fluid is assumed to be isotropic, as valid for gases and simple liquids, and consequently is an isotropic
tensor; furthermore, since the deviatoric stress tensor is symmetric, it turns out that it can be expressed in terms of
two scalar dynamic viscosities μ and μ”:
where
is the
rate-of-strain tensor and
is the rate of expansion of the flow
• the deviatoric stress tensor has zero trace, so for a three-dimensional flow 2μ + 3μ” = 0
As a result, in the Navier–Stokes equations the deviatoric stress tensor has the following form:[8]
with the quantity between brackets the non-isotropic part of the rate-of-strain tensor The dynamic viscosity μ does
not need to be constant – in general it depends on conditions like temperature and pressure, and in turbulence
modelling the concept of eddy viscosity is used to approximate the average deviatoric stress.
The pressure p is modelled by use of an equation of state.[9] For the special case of an incompressible flow, the
pressure constrains the flow in such a way that the volume of fluid elements is constant: isochoric flow resulting in a
[10]
solenoidal velocity field with
Other forces
The vector field represents body forces. Typically these consist of only gravity forces, but may include other
types(such as electromagnetic forces). In a non-inertial coordinate system, other "forces" such as that associated with
rotating coordinates may be inserted.
Often, these forces may be represented as the gradient of some scalar quantity
direction, for example, is the gradient of
, with
. Gravity in the z
. Since pressure shows up only as a gradient, this implies that
solving a problem without any such body force can be mended to include the body force by using a modified
pressure
. The pressure and force terms on the right hand side of the Navier–Stokes equation
become
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Other equations
The Navier–Stokes equations are strictly a statement of the conservation of momentum. In order to fully describe
fluid flow, more information is needed (how much depends on the assumptions made). This additional information
may include boundary data (no-slip, capillary surface, etc.), the conservation of mass, the conservation of energy,
and/or an equation of state.
Regardless of the flow assumptions, a statement of the conservation of mass is generally necessary. This is achieved
through the mass continuity equation, given in its most general form as:
or, using the substantive derivative:
Incompressible flow of Newtonian fluids
A simplification of the resulting flow equations is obtained when considering an incompressible flow of a Newtonian
fluid. The assumption of incompressibility rules out the possibility of sound or shock waves to occur; so this
simplification is invalid if these phenomena are important. The incompressible flow assumption typically holds well
even when dealing with a "compressible" fluid — such as air at room temperature — at low Mach numbers (even
when flowing up to about Mach 0.3). Taking the incompressible flow assumption into account and assuming
constant viscosity, the Navier–Stokes equations will read, in vector form:[11]
Here f represents "other" body forces (forces per unit volume), such as gravity or centrifugal force. The shear stress
term
becomes the useful quantity
( is the vector Laplacian) when the fluid is assumed incompressible,
homogeneous and Newtonian, where
is the (constant) dynamic viscosity.[12]
It's well worth observing the meaning of each term (compare to the Cauchy momentum equation):
Note that only the convective terms are nonlinear for incompressible Newtonian flow. The convective acceleration is
an acceleration caused by a (possibly steady) change in velocity over position, for example the speeding up of fluid
entering a converging nozzle. Though individual fluid particles are being accelerated and thus are under unsteady
motion, the flow field (a velocity distribution) will not necessarily be time dependent.
Another important observation is that the viscosity is represented by the vector Laplacian of the velocity field
(interpreted here as the difference between the velocity at a point and the mean velocity in a small volume around).
This implies that Newtonian viscosity is diffusion of momentum, this works in much the same way as the diffusion
of heat seen in the heat equation (which also involves the Laplacian).
If temperature effects are also neglected, the only "other" equation (apart from initial/boundary conditions) needed is
the mass continuity equation. Under the incompressible assumption, density is a constant and it follows that the
equation will simplify to:
This is more specifically a statement of the conservation of volume (see divergence).
NavierStokes equations
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These equations are commonly used in 3 coordinates systems: Cartesian, cylindrical, and spherical. While the
Cartesian equations seem to follow directly from the vector equation above, the vector form of the Navier–Stokes
equation involves some tensor calculus which means that writing it in other coordinate systems is not as simple as
doing so for scalar equations (such as the heat equation).
Cartesian coordinates
Writing the vector equation explicitly,
Note that gravity has been accounted for as a body force, and the values of
will depend on the orientation
of gravity with respect to the chosen set of coordinates.
The continuity equation reads:
When the flow is at steady-state,
When the flow is incompressible,
does not change with respect to time. The continuity equation is reduced to:
is constant and does not change with respect to space. The continuity equation
is reduced to:
The velocity components (the dependent variables to be solved for) are typically named u, v, w. This system of four
equations comprises the most commonly used and studied form. Though comparatively more compact than other
representations, this is still a nonlinear system of partial differential equations for which solutions are difficult to
obtain.
Cylindrical coordinates
A change of variables on the Cartesian equations will yield[11] the following momentum equations for r,
, and z:
The gravity components will generally not be constants, however for most applications either the coordinates are
chosen so that the gravity components are constant or else it is assumed that gravity is counteracted by a pressure
field (for example, flow in horizontal pipe is treated normally without gravity and without a vertical pressure
gradient). The continuity equation is:
NavierStokes equations
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This cylindrical representation of the incompressible Navier–Stokes equations is the second most commonly seen
(the first being Cartesian above). Cylindrical coordinates are chosen to take advantage of symmetry, so that a
velocity component can disappear. A very common case is axisymmetric flow with the assumption of no tangential
velocity (
), and the remaining quantities are independent of :
Spherical coordinates
In spherical coordinates, the r,
[13]
or colatitude,
0≤
≤
, and
momentum equations are[11] (note the convention used:
is polar angle,
):
Mass continuity will read:
These equations could be (slightly) compacted by, for example, factoring
from the viscous terms. However,
doing so would undesirably alter the structure of the Laplacian and other quantities.
Stream function formulation
Taking the curl of the Navier–Stokes equation results in the elimination of pressure. This is especially easy to see if
2D Cartesian flow is assumed (
and no dependence of anything on z), where the equations reduce to:
Differentiating the first with respect to y, the second with respect to x and subtracting the resulting equations will
eliminate pressure and any conservative force. Defining the stream function through
NavierStokes equations
8
results in mass continuity being unconditionally satisfied (given the stream function is continuous), and then
incompressible Newtonian 2D momentum and mass conservation degrade into one equation:
where
is the (2D) biharmonic operator and
is the kinematic viscosity,
. We can also express this
compactly using the Jacobian determinant:
This single equation together with appropriate boundary conditions describes 2D fluid flow, taking only kinematic
viscosity as a parameter. Note that the equation for creeping flow results when the left side is assumed zero.
In axisymmetric flow another stream function formulation, called the Stokes stream function, can be used to describe
the velocity components of an incompressible flow with one scalar function.
Pressure-free velocity formulation
The incompressible Navier–Stokes equation is a differential algebraic equation, having the inconvenient feature that
there is no explicit mechanism for advancing the pressure in time. Consequently, much effort has been expended to
eliminate the pressure from all or part of the computational process. The stream function formulation above
eliminates the pressure (in 2D) at the expense of introducing higher derivatives and elimination of the velocity,
which is the primary variable of interest.
The incompressible Navier–Stokes equation is composite, the sum of two orthogonal equations,
,
,
where
and
are solenoidal and irrotational projection operators satisfying
and
and
are the nonconservative and conservative parts of the body force. This result follows from the Helmholtz Theorem
(also known as the fundamental theorem of vector calculus). The first equation is a pressureless governing equation
for the velocity, while the second equation for the pressure is a functional of the velocity and is related to the
pressure Poisson equation.
The explicit functional form of the projection operator in 3D is found from the Helmholtz Theorem
.
with a similar structure in 2D. Thus the governing equation is an integro-differential equation and not convenient for
numerical computation.
An equivalent weak or variational form of the equation, proved to produce the same velocity solution as the
Navier–Stokes equation,[14] is given by,
for divergence-free test functions
satisfying appropriate boundary conditions. Here, the projections are
accomplished by the orthogonality of the solenoidal and irrotational function spaces. The discrete form of this is
imminently suited to finite element computation of divergence-free flow, as we shall see in the next section. There
we will be able to address the question, "How does one specify pressure-driven (Poiseuille) problems with a
pressureless governing equation?"
The absence of pressure forces from the governing velocity equation demonstrates that the equation is not a dynamic
one, but rather a kinematic equation where the divergence-free condition serves the role of a conservation law. This
NavierStokes equations
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all would seem to refute the frequent statements that the incompressible pressure enforces the divergence-free
condition.
Discrete velocity
With partitioning of the problem domain and defining basis functions on the partitioned domain, the discrete form of
the governing equation is,
.
It is desirable to choose basis functions which reflect the essential feature of incompressible flow – the elements
must be divergence-free. While the velocity is the variable of interest, the existence of the stream function or vector
potential is necessary by the Helmholtz Theorem. Further, to determine fluid flow in the absence of a pressure
gradient, one can specify the difference of stream function values across a 2D channel, or the line integral of the
tangential component of the vector potential around the channel in 3D, the flow being given by Stokes' Theorem.
Discussion will be restricted to 2D in the following.
We further restrict discussion to continuous Hermite finite elements which have at least first-derivative
degrees-of-freedom. With this, one can draw a large number of candidate triangular and rectangular elements from
the plate-bending literature. These elements have derivatives as components of the gradient. In 2D, the gradient and
curl of a scalar are clearly orthogonal, given by the expressions,
Adopting continuous plate-bending elements, interchanging the derivative degrees-of-freedom and changing the sign
of the appropriate one gives many families of stream function elements.
Taking the curl of the scalar stream function elements gives divergence-free velocity elements[15] .[16] The
requirement that the stream function elements be continuous assures that the normal component of the velocity is
continuous across element interfaces, all that is necessary for vanishing divergence on these interfaces.
Boundary conditions are simple to apply. The stream function is constant on no-flow surfaces, with no-slip velocity
conditions on surfaces. Stream function differences across open channels determine the flow. No boundary
conditions are necessary on open boundaries, though consistent values may be used with some problems. These are
all Dirichlet conditions.
The algebraic equations to be solved are simple to set up, but of course are non-linear, requiring iteration of the
linearized equations. .
Similar considerations apply to three-dimensions, but extension from 2D is not immediate because of the vector
nature of the potential, and there exists no simple relation between the gradient and the curl as was the case in 2D.
Pressure recovery
Recovering pressure from the velocity field is easy. The discrete weak equation for the pressure gradient is,
,
where the test/weight functions are irrotational. Any conforming scalar finite element may be used. However, the
pressure gradient field may also be of interest. In this case one can use scalar Hermite elements for the pressure. For
the test/weight functions
one would choose the irrotational vector elements obtainied from the gradient of the
pressure element.
NavierStokes equations
Compressible flow of Newtonian fluids
There are some phenomena that are closely linked with fluid compressibility. One of the obvious examples is sound.
Description of such phenomena requires more general presentation of the Navier–Stokes equation that takes into
account fluid compressibility. If viscosity is assumed a constant, one additional term appears, as shown here:[17] [18]
where
is the volume viscosity coefficient, also known as bulk viscosity. This additional term disappears for an
incompressible fluid, when the divergence of the flow equals zero.
Application to specific problems
The Navier–Stokes equations, even when written explicitly for specific fluids, are rather generic in nature and their
proper application to specific problems can be very diverse. This is partly because there is an enormous variety of
problems that may be modeled, ranging from as simple as the distribution of static pressure to as complicated as
multiphase flow driven by surface tension.
Generally, application to specific problems begins with some flow assumptions and initial/boundary condition
formulation, this may be followed by scale analysis to further simplify the problem. For example, after assuming
steady, parallel, one dimensional, nonconvective pressure driven flow between parallel plates, the resulting scaled
(dimensionless) boundary value problem is:
Visualization of a) parallel flow and b) radial flow.
The boundary condition is the no slip condition. This problem is easily solved for the flow field:
10
NavierStokes equations
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From this point onward more quantities of interest can be easily obtained, such as viscous drag force or net flow rate.
Difficulties may arise when the problem becomes slightly more complicated. A seemingly modest twist on the
parallel flow above would be the radial flow between parallel plates; this involves convection and thus nonlinearity.
The velocity field may be represented by a function
that must satisfy:
This ordinary differential equation is what is obtained when the Navier–Stokes equations are written and the flow
assumptions applied (additionally, the pressure gradient is solved for). The nonlinear term makes this a very difficult
problem to solve analytically (a lengthy implicit solution may be found which involves elliptic integrals and roots of
cubic polynomials). Issues with the actual existence of solutions arise for R > 1.41 (approximately; this is not the
square root of 2), the parameter R being the Reynolds number with appropriately chosen scales. This is an example
of flow assumptions losing their applicability, and an example of the difficulty in "high" Reynolds number flows.
Exact solutions of the Navier–Stokes equations
Some exact solutions to the Navier–Stokes equations exist. Examples of degenerate cases — with the non-linear
terms in the Navier–Stokes equations equal to zero — are Poiseuille flow, Couette flow and the oscillatory Stokes
boundary layer. But also more interesting examples, solutions to the full non-linear equations, exist; for example the
Taylor–Green vortex.[19] [20] [21] Note that the existence of these exact solutions does not imply they are stable:
turbulence may develop at higher Reynolds numbers.
A three dimensional steady-state vortex solution
A nice steady-state example with no singularities
comes from considering the flow along the lines of a
Hopf fibration. Let r be a constant radius to the inner
coil. One set of solutions is given by[22] :
Some of the flow lines along a Hopf fibration.
NavierStokes equations
for arbitrary constants A and B. This is a solution in a non-viscous gas (compressible fluid) whose density, velocities
and pressure goes to zero far from the origin. (Note this is not a solution to the Clay Millennium problem because
that refers to incompressible fluids where is a constant.) It is also worth pointing out that the components of the
velocity vector are exactly those from the Pythagorean quadruple parametrization. Other choices of density and
pressure are possible with the same velocity field:
Wyld diagrams
Wyld diagrams are bookkeeping graphs that correspond to the Navier–Stokes equations via a perturbation
expansion of the fundamental continuum mechanics. Similar to the Feynman diagrams in quantum field theory, these
diagrams are an extension of Keldysh's technique for nonequilibrium processes in fluid dynamics. In other words,
these diagrams assign graphs to the (often) turbulent phenomena in turbulent fluids by allowing correlated and
interacting fluid particles to obey stochastic processes associated to pseudo-random functions in probability
distributions.[23]
Navier–Stokes equations use in games
The Navier–Stokes equations are used extensively in video games in order to model a wide variety of natural
phenomena. These include simulations of effects such as water, fire, smoke etc. Many of the implementations used
are based on the seminal paper "Real-Time Fluid Dynamics for Games"[24] by J. Stam. More recent implementations
based upon this work run on the GPU as opposed to the CPU and achieve a much higher degree of performance.[25]
[26]
Notes
[1]
[2]
[3]
[4]
[5]
Millennium Prize Problems (http:/ / www. claymath. org/ millennium/ ), Clay Mathematics Institute, , retrieved 2009-04-11
Batchelor (1967) pp. 137 & 142.
Emanuel, G. (2001), Analytical fluid dynamics (second ed.), CRC Press, ISBN 0849391148 pp. 6–7.
See Batchelor (1967), §3.5, p. 160.
Eric W. Weisstein, Convective Derivative (http:/ / mathworld. wolfram. com/ ConvectiveDerivative. html), MathWorld, , retrieved
2008-05-20
[6] Batchelor (1967) p. 142.
[7] Feynman, Richard P.; Leighton, Robert B.; Sands, Matthew (1963), The Feynman Lectures on Physics, Reading, Mass.: Addison-Wesley,
ISBN 0-201-02116-1, Vol. 1, §9–4 and §12–1.
[8] Batchelor (1967) pp. 142–148.
[9] Batchelor (1967) p. 165.
[10] Batchelor (1967) p. 75.
[11] See Acheson (1990).
[12] Batchelor (1967) pp. 21 & 147.
[13] Eric W. Weisstein (2005-10-26), Spherical Coordinates (http:/ / mathworld. wolfram. com/ SphericalCoordinates. html), MathWorld, ,
retrieved 2008-01-22
[14] Temam, Roger (2001), Navier–Stokes Equations, Theory and Numerical Analysis, AMS Chelsea, pp. 107–112
[15] Holdeman, J.T. (2010), "A Hermite finite element method for incompressible fluid flow", Int. J. Numer. Meth. FLuids 64 (4): 376–408,
Bibcode 2010IJNMF..64..376H, doi:10.1002/fld.2154
[16] Holdeman, J.T.; Kim, J.W. (2010), "Computation of incompressible thermal flows using Hermite finite elements", Comput. Methods Appl.
Mech. Engrg. 199 (49–52): 3297–3304, Bibcode 2010CMAME.199.3297H, doi:10.1016/j.cma.2010.06.036
[17] Landau & Lifshitz (1987) pp. 44–45.
[18] Batchelor (1967) pp. 147 & 154.
12
NavierStokes equations
[19] Wang, C.Y. (1991), "Exact solutions of the steady-state Navier–Stokes equations", Annual Review of Fluid Mechanics 23: 159–177,
Bibcode 1991AnRFM..23..159W, doi:10.1146/annurev.fl.23.010191.001111
[20] Landau & Lifshitz (1987) pp. 75–88.
[21] Ethier, C.R.; Steinman, D.A. (1994), "Exact fully 3D Navier–Stokes solutions for benchmarking", International Journal for Numerical
Methods in Fluids 19 (5): 369–375, Bibcode 1994IJNMF..19..369E, doi:10.1002/fld.1650190502
[22] Kamchatno, A. M (1982), Topological solitons in magnetohydrodynamics (http:/ / www. jetp. ac. ru/ cgi-bin/ dn/ e_055_01_0069. pdf),
[23] McComb, W.D. (2008), Renormalization methods: A guide for beginners, Oxford University Press, ISBN 0199236526 pp. 121–128.
[24] Stam, J. (2003), Real-Time Fluid Dynamics for Games (http:/ / www. dgp. toronto. edu/ people/ stam/ reality/ Research/ pdf/ GDC03. pdf),
[25] Harris, Mark J. (2004), "38", GPUGems - Fast Fluid Dynamics Simulation on the GPU
[26] Sander, P.; Tatarchuck, N.; Mitchell, J.L. (2007), "9.6", ShaderX5 - Explicit Early-Z Culling for Efficient Fluid Flow Simulation,
pp. 553–564
References
• Acheson, D. J. (1990), Elementary Fluid Dynamics, Oxford Applied Mathematics and Computing Science Series,
Oxford University Press, ISBN 0198596790
• Batchelor, G. K. (1967), An Introduction to Fluid Dynamics, Cambridge University Press, ISBN 0521663962
• Landau, L. D.; Lifshitz, E. M. (1987), Fluid mechanics, Course of Theoretical Physics, 6 (2nd revised ed.),
Pergamon Press, ISBN 0 08 033932 8, OCLC 15017127
• Rhyming, Inge L. (1991), Dynamique des fluides, Presses Polytechniques et Universitaires Romandes, Lausanne
• Polyanin, A. D.; Kutepov, A. M.; Vyazmin, A. V.; Kazenin, D. A. (2002), Hydrodynamics, Mass and Heat
Transfer in Chemical Engineering, Taylor & Francis, London, ISBN 0-415-27237-8
• Currie, I. G. (1974), Fundamental Mechanics of Fluids, McGraw-Hill, ISBN 0070150001
External links
• Simplified derivation of the Navier–Stokes equations (http://www.allstar.fiu.edu/aero/Flow2.htm)
• Millennium Prize problem description. (http://www.claymath.org/millennium/Navier-Stokes_Equations/
navierstokes.pdf)
• CFD online software list (http://www.cfd-online.com/Wiki/Codes) A compilation of codes, including
Navier–Stokes solvers.
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Article Sources and Contributors
Article Sources and Contributors
Navier–Stokes equations Source: http://en.wikipedia.org/w/index.php?oldid=459571099 Contributors: 212.42.69.xxx, A. di M., Acx01b, Aeolus, After a shave, Akitchin, Alexey Stomakhin,
Alison, AmirGat, Ancheta Wis, Andrei Polyanin, AndreiDukhin, Anterior1, Ap, Architec, Ashwin, AugustoGe, Awickert, AxelBoldt, Bellhalla, Ben pcc, BenFrantzDale, Bender235,
Benjamin.friedrich, Bfish85, Billingd, Bondrake, Brandy Frisky, Brews ohare, Brian Tvedt, Bryan Derksen, Bunnyhop11, C S, CBoeckle, CRGreathouse, Cfp, Chadernook, Charles Matthews,
CharlesC, Chetvorno, Cjbattagl, Cleared as filed, Complexica, Constructive editor, Conversion script, Cquan, Crowsnest, Cybercobra, CyrilleDunant, D6, Dagit, Darodrigues, David.Monniaux,
Ddcampayo, Deitymaver, Dezidor, Df3n5, Dhollm, DiceDiceBaby, Dicklyon, Discospinster, Dlandau, Dmitri Gorskin, Dreamyshade, Drschawrz, Dual Freq, Dvavasour, Egbertus, Egil,
Egosumliber, EndingPop, Eptalon, Etoombs, Euyyn, EverettColdwell, Faldizzle, Firien, FrancisGM, Gaius Cornelius, Gerbano, Giftlite, Gpayette, Graham87, GregRM, GregorB, Gulmammad,
Gunnar Larsson, H00kwurm, Halberdo, Hankwang, Hard Raspy Sci, Headbomb, Hick ninja, Hofingerandi, Huffers, Hughes23, HydrogenSu, IanOfNorwich, Icairns, Igny, Ikonen, Imgeorgelin,
Infinitud3, Ironicon, Isnow, Isucheme, J04n, JB82, JJ Harrison, JaGa, Jaganath, Jdpipe, Jhalcrow, JonasHoldeman, Jormungand, Jorunn, Josce, Jtwdog, Just Another Dan, Karada, Karkhanis.niks,
Kaszeta, Kenyon, Ketsuekigata, Kupirijo, Kyrtikos, LWhitson2, Ladypine, Lee Daniel Crocker, Lgoodfriend, Linuxlad, Lkinkade, Lotje, LouScheffer, MER-C, MFNickster, Mach2.02, Madoka,
Martinkalling, MasterHD, MathKnight, MattieTK, Mbell, Michael Hardy, Mikalisk, Mike40033, Mirwin, Moink, Mpatel, Muu-karhu, NC17, Naaman, Natwhilk, Nephron, Ocaasi, Odie5533,
Olaf, Oleg Alexandrov, Onlinereal, OverlordQ, Paul August, Pedrose, Perturbationist, Philipwhiuk, Phys, Primarscources, Proofreader77, Psychotic Spoon, Pt, QuantumEleven, Qubert, Qutezuce,
RaYmOnD, Rama, Rbonvall, Re34646, Reedy, RhysU, Rich Farmbrough, Riose, Robinh, RogierBrussee, Rowanthughes, Rror, Rtdrury, Salih, Samohyl Jan, SebastianHelm, Sheliak, Shorespirit,
SimonP, Sinius, Sintaku, Slea, SunCreator, Suslindisambiguator, Suspekt, Sverdrup, Swpb, Tac2z, Tamtamar, Tarquin, Taweetham, The Anome, Theon, Thunderboltz, Timwi, Tjschuck,
Tkasmai, Tobias Hoevekamp, Tommy2010, Torxit, Tosha, Truthnlove, Tt261, Ttownfeen, UkPaolo, Unyoyega, User A1, Vasiľ, Vit-b, Vonkje, Worlder, Worou, WriterHound, XJamRastafire,
Yashkochar, Zaleski, Zylorian, 472 anonymous edits
Image Sources, Licenses and Contributors
Image:ConvectiveAcceleration.png Source: http://en.wikipedia.org/w/index.php?title=File:ConvectiveAcceleration.png License: Public Domain Contributors: Ben pcc
Image:NSConvection.png Source: http://en.wikipedia.org/w/index.php?title=File:NSConvection.png License: Public Domain Contributors: Ben pcc, Joelholdsworth
Image:Hopfkeyrings.jpg Source: http://en.wikipedia.org/w/index.php?title=File:Hopfkeyrings.jpg License: Public domain Contributors: Kalki, Shyam, Ylebru
License
Creative Commons Attribution-Share Alike 3.0 Unported
//creativecommons.org/licenses/by-sa/3.0/
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